ディープラーニングチップセットの市場調査:チャットボットとサービスボットが世界的な急速な普及の要因に!Market Study on Deep Learning Chipset: Chatbots and Service Bots are to Blame for Rapid Adoption Worldwide! 深層学習チップセット市場:2017年から2021年までの世界の産業分析と2022年から2032年までの機会評価 Persistence Market Research(PMR)が発行した深層学習チップセット市場に関する最新の市場調査レポート... もっと見る
サマリー深層学習チップセット市場:2017年から2021年までの世界の産業分析と2022年から2032年までの機会評価Persistence Market Research(PMR)が発行した深層学習チップセット市場に関する最新の市場調査レポートは、2017年から2021年までの世界の産業分析と、2022年から2032年までの機会評価を提供しています。本調査では、最も重要な市場力学の包括的な評価を提供しています。過去の成長パラメータだけでなく、現在の成長パラメータについても徹底的な調査を行った上で、市場の成長見通しを最大限の精度で得ています。 市場セグメンテーション 世界の深層学習チップセット市場は、市場のあらゆる側面をカバーし、読者に完全な市場情報を提示するために詳細にセグメント化されています。 タイプ別 中央演算処理装置(CPU) グラフィックス・プロセッシング・ユニット(GPU) フィールドプログラマブルゲートアレイ(FPGA) 特定用途向け集積回路(ASIC) その他(NPU、ハイブリッドチップ) 技術別 システムオンチップ(SOC) システムインパッケージ(SIP) マルチチップモジュール 地域別 北アメリカ 中南米 欧州 アジア太平洋地域 中近東・アフリカ レポートの章立て 第01章 - エグゼクティブサマリー 深層学習チップセット市場のエグゼクティブサマリーには、世界の深層学習チップセット市場に関する世界市場分析、独自の運命の輪、需要側と供給側の動向、機会評価、提言が含まれています 第02章 - 市場概要 読者の皆様は、本章でディープラーニングチップセット市場の詳細な区分と定義を確認することができ、ディープラーニングチップセットに関する基本情報を理解するのに役立ちます。また、本章では包含と除外を強調しており、読者はディープラーニングチップセット市場レポートの範囲を理解することができます。 第03章 市場の背景 本章では、世界のディープラーニングチップセット市場の関連業界評価を実施します。また、本章では、予測期間中に世界のディープラーニングチップセット市場の成長に影響を与えると予想される主要なマクロ経済要因について説明します。マクロ経済要因とともに、本セクションでは、市場の機会分析、ソーシャルメディアのセンチメント分析、行動8分析も取り上げています。深層学習チップセット市場の主要な市場ダイナミクスを提供し、これにはドライバー、阻害要因、機会が含まれます。 第04章 世界のディープラーニングチップセット市場の2017年から2021年までの需要分析と2022年から2032年までの予測 このセクションでは、過去のカスタムディープラーニングチップセット市場価値の詳細な分析、および将来の機会分析を提供します。読者は、今年度(2022年から2023年)の増分機会、予測期間(2022年から2032年)の絶対機会も知ることができます。 第05章 ディープラーニングチップセットの世界市場 2017年から2021年までの分析、2022年から2032年までの予測、タイプ別 ディープラーニングチップセット市場は、中央処理装置(CPU)、グラフィックス処理装置(GPU)、フィールドプログラミングゲートアレイ(FPGA)、特定用途向け集積回路(ASICS)、およびNPUとハイブリッドチップを含むその他に区分される。本章では、読者はタイプに基づく市場魅力度分析を見つけることができます。 第06章 ディープラーニングチップセットの世界市場 2017年から2021年の分析、2022年から2032年の予測(技術別 本章では、システムオンチップ(SOC)、システムインパッケージ(SIP)、マルチチップモジュールなどの技術に基づくディープラーニングチップセット市場の詳細について説明します。本章では、読者はアプリケーションに基づく、市場魅力度分析を見つけることができます。 第07章 2017年から2021年までのディープラーニングチップセットの世界市場分析と2022年から2032年までの地域別機会評価 本章では、北米、中南米、欧州、アジア太平洋、中東・アフリカなど、さまざまな地理的地域でディープラーニングチップセット市場がどのように成長するかを解説します。 第08章 北米ディープラーニングチップセット市場 2017年から2021年までの分析と2022年から2032年までの予測 本章では、北米地域におけるディープラーニングチップセット市場の成長について、米国とカナダを含む国別評価とともに詳細に分析します。また、読者は北米地域の地域動向、機会、市場成長などを知ることができます。 第09章 ラテンアメリカの深層学習チップセット市場 2017年から2021年までの分析と2022年から2032年までの予測 読者は、中南米地域におけるディープラーニングチップセット市場の成長に影響を与えている価格分析や地域動向など、いくつかの要因についての詳細情報を得ることができます。本章では、ブラジル、メキシコ、アルゼンチン、ラテンアメリカの残りの地域などの主要国におけるディープラーニングチップセット市場の成長見通しも記載しています。 第10章 欧州のディープラーニングチップセット市場 2017年から2021年までの分析と2022年から2032年までの予測 本章では、ドイツ、イタリア、フランス、イギリス、スペイン、ベルギー、およびヨーロッパの残りの部分など、いくつかの国における深層学習チップセット市場の重要な成長見通しを記載しています。 第11章 -アジア太平洋地域のディープラーニングチップセット市場 2017年から2021年までの分析と2022年から2032年までの予測 本章では、中国、日本、韓国、インド、オーストラリア、その他のアジア太平洋地域を含む国別評価とともに、アジア太平洋地域におけるディープラーニングチップセット市場の成長に関する詳細な分析が含まれています。読者は、アジア太平洋地域の国々の地域動向、阻害要因、市場成長も確認することができます。 第12章 中東・アフリカのディープラーニングチップセット市場 2017年から2021年の分析、2022年から2032年の予測 本章では、2022年から2032年の予測期間において、南アフリカ、サウジアラビア、アラブ首長国連邦、中東・アフリカの残りの地域など、中東・アフリカ地域の主要国でディープラーニングチップセット市場がどのように成長すると予測されるかについての洞察を提供します。 第13章 主要国のディープラーニングチップセット市場分析 本章では、2022年から2032年の予測期間において、アメリカ、カナダ、ブラジル、メキシコ、アルゼンチン、ドイツ、イタリア、フランス、イギリス、スペイン、ベルギー、中国、日本、韓国、インド、オーストラリア、サウジアラビア、南アフリカ、アラブ首長国連邦などの主要国において、ディープラーニングチップセット市場がどのように成長すると予測されるかについての洞察を示します。 第14章 市場構造分析 本章では、読者はディープラーニングチップセット市場における主要プレイヤーのティア分析および市場集中度に関する詳細情報を、地域別および製品ポートフォリオ別の市場プレゼンス分析とともにご覧いただけます。 第15章 競合分析 本章では、読者は、深層学習チップセット市場のメーカー/プレイヤーの包括的なリストと、会社概要、収益シェア、戦略的概要、最近の企業動向を含む各企業の詳細情報を確認できます。本レポートで紹介する市場プレイヤーは、Alphabet Inc.、Amazon.Com, Inc.、Advanced Micro Devices, Inc.、Baidu, Inc.、Bitmain Technologies Ltd.、インテル株式会社、Nvidia Corporation、Qualcomm Incorporated、 Samsung Electronics Co.Ltd.、Xilinx, Inc. 第16章 前提条件と頭字語 本章では、ディープラーニングチップセット市場レポートに含まれる情報や統計のベースとなる、頭字語や仮定の一覧を掲載しています。 第17章 - 調査方法論 本章では、深層学習チップセット市場に関する様々な結論や重要な定性的・定量的情報を得るために辿った調査方法を読者に理解してもらいます。 目次1. Executive Summary1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyer’s 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast, 2022 to 2032 4.1. Historical Market Size Value (US$ billion) & Volume (Units) Analysis, 2017 to 2021 4.2. Current and Future Market Size Value (US$ billion) & Volume (Units) Projections, 2022 to 2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Type, 2017 to 2021 5.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Type, 2022 to 2032 5.3.1. Central Processing Units (CPUs) 5.3.2. Graphics Processing Units (GPUs) 5.3.3. Field Programmable Gate Arrays (FPGAs) 5.3.4. Application-Specific Integrated Circuits (ASICs) 5.3.5. Others (NPU & Hybrid Chip) 5.4. Y-o-Y Growth Trend Analysis By Type, 2017 to 2021 5.5. Absolute $ Opportunity Analysis By Type, 2022 to 2032 6. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Technology 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Technology, 2017 to 2021 6.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Technology, 2022 to 2032 6.3.1. System-on-chip (SOC)) 6.3.2. System-in-package (SIP 6.3.3. Multi-Chip Module 6.3.4. Others 6.4. Y-o-Y Growth Trend Analysis By Technology, 2017 to 2021 6.5. Absolute $ Opportunity Analysis By Technology, 2022 to 2032 7. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Region, 2017 to 2021 7.3. Current Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Region, 2022 to 2032 7.3.1. North America 7.3.2. Latin America 7.3.3. Europe 7.3.4. Asia Pacific 7.3.5. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 8.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 8.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 8.2.1. By Country 8.2.1.1. USA 8.2.1.2. Canada 8.2.2. By Type 8.2.3. By Technology 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Type 8.3.3. By Technology 8.4. Key Takeaways 9. Latin America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 9.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 9.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Type 9.2.3. By Technology 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Type 9.3.3. By Technology 9.4. Key Takeaways 10. Europe Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 10.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 10.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. United Kingdom 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Europe 10.2.2. By Type 10.2.3. By Technology 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Technology 10.4. Key Takeaways 11. Asia Pacific Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 11.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 11.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 11.2.1. By Country 11.2.1.1. China 11.2.1.2. Japan 11.2.1.3. South Korea 11.2.1.4. Singapore 11.2.1.5. Thailand 11.2.1.6. Indonesia 11.2.1.7. Australia 11.2.1.8. New Zealand 11.2.1.9. Rest of Asia Pacific 11.2.2. By Type 11.2.3. By Technology 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Technology 11.4. Key Takeaways 12. Middle East and Africa Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 12.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 12.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 12.2.1. By Country 12.2.1.1. Gulf Cooperation Council Countries 12.2.1.2. South Africa 12.2.1.3. Israel 12.2.1.4. Rest of Middle East and Africa 12.2.2. By Type 12.2.3. By Technology 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Technology 12.4. Key Takeaways 13. Key Countries Deep Learning Chipset Market Analysis 13.1. USA 13.1.1. Pricing Analysis 13.1.2. Market Share Analysis, 2021 13.1.2.1. By Type 13.1.2.2. By Technology 13.2. Canada 13.2.1. Pricing Analysis 13.2.2. Market Share Analysis, 2021 13.2.2.1. By Type 13.2.2.2. By Technology 13.3. Brazil 13.3.1. Pricing Analysis 13.3.2. Market Share Analysis, 2021 13.3.2.1. By Type 13.3.2.2. By Technology 13.4. Mexico 13.4.1. Pricing Analysis 13.4.2. Market Share Analysis, 2021 13.4.2.1. By Type 13.4.2.2. By Technology 13.5. Germany 13.5.1. Pricing Analysis 13.5.2. Market Share Analysis, 2021 13.5.2.1. By Type 13.5.2.2. By Technology 13.6. United Kingdom 13.6.1. Pricing Analysis 13.6.2. Market Share Analysis, 2021 13.6.2.1. By Type 13.6.2.2. By Technology 13.7. France 13.7.1. Pricing Analysis 13.7.2. Market Share Analysis, 2021 13.7.2.1. By Type 13.7.2.2. By Technology 13.8. Spain 13.8.1. Pricing Analysis 13.8.2. Market Share Analysis, 2021 13.8.2.1. By Type 13.8.2.2. By Technology 13.9. Italy 13.9.1. Pricing Analysis 13.9.2. Market Share Analysis, 2021 13.9.2.1. By Type 13.9.2.2. By Technology 13.10. China 13.10.1. Pricing Analysis 13.10.2. Market Share Analysis, 2021 13.10.2.1. By Type 13.10.2.2. By Technology 13.11. Japan 13.11.1. Pricing Analysis 13.11.2. Market Share Analysis, 2021 13.11.2.1. By Type 13.11.2.2. By Technology 13.12. South Korea 13.12.1. Pricing Analysis 13.12.2. Market Share Analysis, 2021 13.12.2.1. By Type 13.12.2.2. By Technology 13.13. Singapore 13.13.1. Pricing Analysis 13.13.2. Market Share Analysis, 2021 13.13.2.1. By Type 13.13.2.2. By Technology 13.14. Thailand 13.14.1. Pricing Analysis 13.14.2. Market Share Analysis, 2021 13.14.2.1. By Type 13.14.2.2. By Technology 13.15. Indonesia 13.15.1. Pricing Analysis 13.15.2. Market Share Analysis, 2021 13.15.2.1. By Type 13.15.2.2. By Technology 13.16. Australia 13.16.1. Pricing Analysis 13.16.2. Market Share Analysis, 2021 13.16.2.1. By Type 13.16.2.2. By Technology 13.17. New Zealand 13.17.1. Pricing Analysis 13.17.2. Market Share Analysis, 2021 13.17.2.1. By Type 13.17.2.2. By Technology 13.18. Gulf Cooperation Council Countries 13.18.1. Pricing Analysis 13.18.2. Market Share Analysis, 2021 13.18.2.1. By Type 13.18.2.2. By Technology 13.19. South Africa 13.19.1. Pricing Analysis 13.19.2. Market Share Analysis, 2021 13.19.2.1. By Type 13.19.2.2. By Technology 13.20. Israel 13.20.1. Pricing Analysis 13.20.2. Market Share Analysis, 2021 13.20.2.1. By Type 13.20.2.2. By Technology 14. Market Structure Analysis 14.1. Competition Dashboard 14.2. Competition Benchmarking 14.3. Market Share Analysis of Top Players 14.3.1. By Regional 14.3.2. By Type 14.3.3. By Technology 15. Competition Analysis 15.1. Competition Deep Dive 15.1.1. Alphabet Inc. 15.1.1.1. Overview 15.1.1.2. Product Portfolio 15.1.1.3. Profitability by Market Segments 15.1.1.4. Sales Footprint 15.1.1.5. Strategy Overview 15.1.1.5.1. Marketing Strategy 15.1.1.5.2. Product Strategy 15.1.1.5.3. Channel Strategy 15.1.2. Amazon.Com, Inc. 15.1.2.1. Overview 15.1.2.2. Product Portfolio 15.1.2.3. Profitability by Market Segments 15.1.2.4. Sales Footprint 15.1.2.5. Strategy Overview 15.1.2.5.1. Marketing Strategy 15.1.2.5.2. Product Strategy 15.1.2.5.3. Channel Strategy 15.1.3. Advanced Micro Devices, Inc. 15.1.3.1. Overview 15.1.3.2. Product Portfolio 15.1.3.3. Profitability by Market Segments 15.1.3.4. Sales Footprint 15.1.3.5. Strategy Overview 15.1.3.5.1. Marketing Strategy 15.1.3.5.2. Product Strategy 15.1.3.5.3. Channel Strategy 15.1.4. Baidu, Inc. 15.1.4.1. Overview 15.1.4.2. Product Portfolio 15.1.4.3. Profitability by Market Segments 15.1.4.4. Sales Footprint 15.1.4.5. Strategy Overview 15.1.4.5.1. Marketing Strategy 15.1.4.5.2. Product Strategy 15.1.4.5.3. Channel Strategy 15.1.5. Bitmain Technologies Ltd. 15.1.5.1. Overview 15.1.5.2. Product Portfolio 15.1.5.3. Profitability by Market Segments 15.1.5.4. Sales Footprint 15.1.5.5. Strategy Overview 15.1.5.5.1. Marketing Strategy 15.1.5.5.2. Product Strategy 15.1.5.5.3. Channel Strategy 15.1.6. Intel Corporation 15.1.6.1. Overview 15.1.6.2. Product Portfolio 15.1.6.3. Profitability by Market Segments 15.1.6.4. Sales Footprint 15.1.6.5. Strategy Overview 15.1.6.5.1. Marketing Strategy 15.1.6.5.2. Product Strategy 15.1.6.5.3. Channel Strategy 15.1.7. Nvidia Corporation 15.1.7.1. Overview 15.1.7.2. Product Portfolio 15.1.7.3. Profitability by Market Segments 15.1.7.4. Sales Footprint 15.1.7.5. Strategy Overview 15.1.7.5.1. Marketing Strategy 15.1.7.5.2. Product Strategy 15.1.7.5.3. Channel Strategy 15.1.8. Qualcomm Incorporated 15.1.8.1. Overview 15.1.8.2. Product Portfolio 15.1.8.3. Profitability by Market Segments 15.1.8.4. Sales Footprint 15.1.8.5. Strategy Overview 15.1.8.5.1. Marketing Strategy 15.1.8.5.2. Product Strategy 15.1.8.5.3. Channel Strategy 15.1.9. Samsung Electronics Co. Ltd. 15.1.9.1. Overview 15.1.9.2. Product Portfolio 15.1.9.3. Profitability by Market Segments 15.1.9.4. Sales Footprint 15.1.9.5. Strategy Overview 15.1.9.5.1. Marketing Strategy 15.1.9.5.2. Product Strategy 15.1.9.5.3. Channel Strategy 15.1.10. Xilinx, Inc 15.1.10.1. Overview 15.1.10.2. Product Portfolio 15.1.10.3. Profitability by Market Segments 15.1.10.4. Sales Footprint 15.1.10.5. Strategy Overview 15.1.10.5.1. Marketing Strategy 15.1.10.5.2. Product Strategy 15.1.10.5.3. Channel Strategy 16. Assumptions & Acronyms Used 17. Research Methodology 図表リストTable 1: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Region, 2017 to 2032Table 2: Global Deep Learning Chipset Market Volume (Units) Forecast by Region, 2017 to 2032 Table 3: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 4: Global Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 5: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 6: Global Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 7: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 8: North America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 9: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 10: North America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 11: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 12: North America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 13: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 14: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 15: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 16: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 17: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 18: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 19: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 20: Europe Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 21: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 22: Europe Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 23: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 24: Europe Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 25: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 26: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 27: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 28: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 29: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 30: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 31: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 32: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 33: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 34: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 35: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 36: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032
SummaryDeep Learning Chipset Market: Global Industry Analysis from 2017 to 2021 and Opportunity Assessment from 2022 to 2032 Table of Contents1. Executive Summary1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyer’s 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast, 2022 to 2032 4.1. Historical Market Size Value (US$ billion) & Volume (Units) Analysis, 2017 to 2021 4.2. Current and Future Market Size Value (US$ billion) & Volume (Units) Projections, 2022 to 2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Type, 2017 to 2021 5.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Type, 2022 to 2032 5.3.1. Central Processing Units (CPUs) 5.3.2. Graphics Processing Units (GPUs) 5.3.3. Field Programmable Gate Arrays (FPGAs) 5.3.4. Application-Specific Integrated Circuits (ASICs) 5.3.5. Others (NPU & Hybrid Chip) 5.4. Y-o-Y Growth Trend Analysis By Type, 2017 to 2021 5.5. Absolute $ Opportunity Analysis By Type, 2022 to 2032 6. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Technology 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Technology, 2017 to 2021 6.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Technology, 2022 to 2032 6.3.1. System-on-chip (SOC)) 6.3.2. System-in-package (SIP 6.3.3. Multi-Chip Module 6.3.4. Others 6.4. Y-o-Y Growth Trend Analysis By Technology, 2017 to 2021 6.5. Absolute $ Opportunity Analysis By Technology, 2022 to 2032 7. Global Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Region, 2017 to 2021 7.3. Current Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Region, 2022 to 2032 7.3.1. North America 7.3.2. Latin America 7.3.3. Europe 7.3.4. Asia Pacific 7.3.5. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 8.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 8.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 8.2.1. By Country 8.2.1.1. USA 8.2.1.2. Canada 8.2.2. By Type 8.2.3. By Technology 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Type 8.3.3. By Technology 8.4. Key Takeaways 9. Latin America Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 9.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 9.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Type 9.2.3. By Technology 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Type 9.3.3. By Technology 9.4. Key Takeaways 10. Europe Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 10.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 10.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. United Kingdom 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Europe 10.2.2. By Type 10.2.3. By Technology 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Type 10.3.3. By Technology 10.4. Key Takeaways 11. Asia Pacific Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 11.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 11.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 11.2.1. By Country 11.2.1.1. China 11.2.1.2. Japan 11.2.1.3. South Korea 11.2.1.4. Singapore 11.2.1.5. Thailand 11.2.1.6. Indonesia 11.2.1.7. Australia 11.2.1.8. New Zealand 11.2.1.9. Rest of Asia Pacific 11.2.2. By Type 11.2.3. By Technology 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Type 11.3.3. By Technology 11.4. Key Takeaways 12. Middle East and Africa Deep Learning Chipset Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 12.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2021 12.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2022 to 2032 12.2.1. By Country 12.2.1.1. Gulf Cooperation Council Countries 12.2.1.2. South Africa 12.2.1.3. Israel 12.2.1.4. Rest of Middle East and Africa 12.2.2. By Type 12.2.3. By Technology 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Type 12.3.3. By Technology 12.4. Key Takeaways 13. Key Countries Deep Learning Chipset Market Analysis 13.1. USA 13.1.1. Pricing Analysis 13.1.2. Market Share Analysis, 2021 13.1.2.1. By Type 13.1.2.2. By Technology 13.2. Canada 13.2.1. Pricing Analysis 13.2.2. Market Share Analysis, 2021 13.2.2.1. By Type 13.2.2.2. By Technology 13.3. Brazil 13.3.1. Pricing Analysis 13.3.2. Market Share Analysis, 2021 13.3.2.1. By Type 13.3.2.2. By Technology 13.4. Mexico 13.4.1. Pricing Analysis 13.4.2. Market Share Analysis, 2021 13.4.2.1. By Type 13.4.2.2. By Technology 13.5. Germany 13.5.1. Pricing Analysis 13.5.2. Market Share Analysis, 2021 13.5.2.1. By Type 13.5.2.2. By Technology 13.6. United Kingdom 13.6.1. Pricing Analysis 13.6.2. Market Share Analysis, 2021 13.6.2.1. By Type 13.6.2.2. By Technology 13.7. France 13.7.1. Pricing Analysis 13.7.2. Market Share Analysis, 2021 13.7.2.1. By Type 13.7.2.2. By Technology 13.8. Spain 13.8.1. Pricing Analysis 13.8.2. Market Share Analysis, 2021 13.8.2.1. By Type 13.8.2.2. By Technology 13.9. Italy 13.9.1. Pricing Analysis 13.9.2. Market Share Analysis, 2021 13.9.2.1. By Type 13.9.2.2. By Technology 13.10. China 13.10.1. Pricing Analysis 13.10.2. Market Share Analysis, 2021 13.10.2.1. By Type 13.10.2.2. By Technology 13.11. Japan 13.11.1. Pricing Analysis 13.11.2. Market Share Analysis, 2021 13.11.2.1. By Type 13.11.2.2. By Technology 13.12. South Korea 13.12.1. Pricing Analysis 13.12.2. Market Share Analysis, 2021 13.12.2.1. By Type 13.12.2.2. By Technology 13.13. Singapore 13.13.1. Pricing Analysis 13.13.2. Market Share Analysis, 2021 13.13.2.1. By Type 13.13.2.2. By Technology 13.14. Thailand 13.14.1. Pricing Analysis 13.14.2. Market Share Analysis, 2021 13.14.2.1. By Type 13.14.2.2. By Technology 13.15. Indonesia 13.15.1. Pricing Analysis 13.15.2. Market Share Analysis, 2021 13.15.2.1. By Type 13.15.2.2. By Technology 13.16. Australia 13.16.1. Pricing Analysis 13.16.2. Market Share Analysis, 2021 13.16.2.1. By Type 13.16.2.2. By Technology 13.17. New Zealand 13.17.1. Pricing Analysis 13.17.2. Market Share Analysis, 2021 13.17.2.1. By Type 13.17.2.2. By Technology 13.18. Gulf Cooperation Council Countries 13.18.1. Pricing Analysis 13.18.2. Market Share Analysis, 2021 13.18.2.1. By Type 13.18.2.2. By Technology 13.19. South Africa 13.19.1. Pricing Analysis 13.19.2. Market Share Analysis, 2021 13.19.2.1. By Type 13.19.2.2. By Technology 13.20. Israel 13.20.1. Pricing Analysis 13.20.2. Market Share Analysis, 2021 13.20.2.1. By Type 13.20.2.2. By Technology 14. Market Structure Analysis 14.1. Competition Dashboard 14.2. Competition Benchmarking 14.3. Market Share Analysis of Top Players 14.3.1. By Regional 14.3.2. By Type 14.3.3. By Technology 15. Competition Analysis 15.1. Competition Deep Dive 15.1.1. Alphabet Inc. 15.1.1.1. Overview 15.1.1.2. Product Portfolio 15.1.1.3. Profitability by Market Segments 15.1.1.4. Sales Footprint 15.1.1.5. Strategy Overview 15.1.1.5.1. Marketing Strategy 15.1.1.5.2. Product Strategy 15.1.1.5.3. Channel Strategy 15.1.2. Amazon.Com, Inc. 15.1.2.1. Overview 15.1.2.2. Product Portfolio 15.1.2.3. Profitability by Market Segments 15.1.2.4. Sales Footprint 15.1.2.5. Strategy Overview 15.1.2.5.1. Marketing Strategy 15.1.2.5.2. Product Strategy 15.1.2.5.3. Channel Strategy 15.1.3. Advanced Micro Devices, Inc. 15.1.3.1. Overview 15.1.3.2. Product Portfolio 15.1.3.3. Profitability by Market Segments 15.1.3.4. Sales Footprint 15.1.3.5. Strategy Overview 15.1.3.5.1. Marketing Strategy 15.1.3.5.2. Product Strategy 15.1.3.5.3. Channel Strategy 15.1.4. Baidu, Inc. 15.1.4.1. Overview 15.1.4.2. Product Portfolio 15.1.4.3. Profitability by Market Segments 15.1.4.4. Sales Footprint 15.1.4.5. Strategy Overview 15.1.4.5.1. Marketing Strategy 15.1.4.5.2. Product Strategy 15.1.4.5.3. Channel Strategy 15.1.5. Bitmain Technologies Ltd. 15.1.5.1. Overview 15.1.5.2. Product Portfolio 15.1.5.3. Profitability by Market Segments 15.1.5.4. Sales Footprint 15.1.5.5. Strategy Overview 15.1.5.5.1. Marketing Strategy 15.1.5.5.2. Product Strategy 15.1.5.5.3. Channel Strategy 15.1.6. Intel Corporation 15.1.6.1. Overview 15.1.6.2. Product Portfolio 15.1.6.3. Profitability by Market Segments 15.1.6.4. Sales Footprint 15.1.6.5. Strategy Overview 15.1.6.5.1. Marketing Strategy 15.1.6.5.2. Product Strategy 15.1.6.5.3. Channel Strategy 15.1.7. Nvidia Corporation 15.1.7.1. Overview 15.1.7.2. Product Portfolio 15.1.7.3. Profitability by Market Segments 15.1.7.4. Sales Footprint 15.1.7.5. Strategy Overview 15.1.7.5.1. Marketing Strategy 15.1.7.5.2. Product Strategy 15.1.7.5.3. Channel Strategy 15.1.8. Qualcomm Incorporated 15.1.8.1. Overview 15.1.8.2. Product Portfolio 15.1.8.3. Profitability by Market Segments 15.1.8.4. Sales Footprint 15.1.8.5. Strategy Overview 15.1.8.5.1. Marketing Strategy 15.1.8.5.2. Product Strategy 15.1.8.5.3. Channel Strategy 15.1.9. Samsung Electronics Co. Ltd. 15.1.9.1. Overview 15.1.9.2. Product Portfolio 15.1.9.3. Profitability by Market Segments 15.1.9.4. Sales Footprint 15.1.9.5. Strategy Overview 15.1.9.5.1. Marketing Strategy 15.1.9.5.2. Product Strategy 15.1.9.5.3. Channel Strategy 15.1.10. Xilinx, Inc 15.1.10.1. Overview 15.1.10.2. Product Portfolio 15.1.10.3. Profitability by Market Segments 15.1.10.4. Sales Footprint 15.1.10.5. Strategy Overview 15.1.10.5.1. Marketing Strategy 15.1.10.5.2. Product Strategy 15.1.10.5.3. Channel Strategy 16. Assumptions & Acronyms Used 17. Research Methodology List of Tables/GraphsTable 1: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Region, 2017 to 2032Table 2: Global Deep Learning Chipset Market Volume (Units) Forecast by Region, 2017 to 2032 Table 3: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 4: Global Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 5: Global Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 6: Global Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 7: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 8: North America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 9: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 10: North America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 11: North America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 12: North America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 13: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 14: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 15: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 16: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 17: Latin America Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 18: Latin America Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 19: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 20: Europe Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 21: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 22: Europe Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 23: Europe Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 24: Europe Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 25: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 26: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 27: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 28: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 29: Asia Pacific Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 30: Asia Pacific Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032 Table 31: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Country, 2017 to 2032 Table 32: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Country, 2017 to 2032 Table 33: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Type, 2017 to 2032 Table 34: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Type, 2017 to 2032 Table 35: Middle East and Africa Deep Learning Chipset Market Value (US$ billion) Forecast by Technology, 2017 to 2032 Table 36: Middle East and Africa Deep Learning Chipset Market Volume (Units) Forecast by Technology, 2017 to 2032
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